Evidence map›Paper›PMID 37016116›Full record

ArticleAdvances in experimental medicine and biology2023

Visualizing Anatomy in Dental Morphology Education.

Tamara Vagg, Andre Toulouse, Conor O'Mahony, Mutahira Lone

Abstract read
PubMed Publisher
In one paragraph

Article in Advances in experimental medicine and biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
3.9field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Tamara VaggCork Adult CF Centre, Cork University Hospital, University College Cork, Wilton, Cork, Republic of Ireland.
Andre ToulouseDepartment of Anatomy and Neuroscience, University College Cork, Cork, Republic of Ireland.
Conor O'MahonyDepartment of Anatomy and Neuroscience, University College Cork, Cork, Republic of Ireland.
Mutahira LoneDepartment of Anatomy and Neuroscience, University College Cork, Cork, Republic of Ireland. m.lone@ucc.ie.
University College Cork · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tooth morphology is a foundation course for all dental healthcare students including dentists, dental hygiene, dental therapy, and dental nursing students. This chapter explores the conventional and innovative teaching methods to deliver tooth morphology educational modules. The teaching tools are explored with a 2D and 3D lens, with a particular focus on visualization, student understanding, and engagement. Traditional methods of teaching tooth morphology must be complemented with innovative pedagogical approaches in order to maintain student's attention and accommodate their diverse learning methods. Teaching 3D anatomy enables students to visualize and spatially comprehend the link between various anatomical components. Online tests and quizzes motivate students and are also beneficial in preparing students for exams. Online self-examinations offering visualization with 3D teeth enable students to evaluate their knowledge and offers immediate feedback, which aids in the long-term retention of information. These tools can be as efficient as other teaching methods, allowing the students to study at their own pace and with repetition. The authors conclude that blended and innovative teaching methods should supplement student learning and not replace, traditional face-to-face educational methods.

Indexed as

ToothAttentionEducation, DentalFeedbackHumansStudents, Dental3DDental anatomyDigital divideDigital teachingTooth morphology

Identifiers

PMID37016116
OpenAlexW4362562573

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.